Scott Armstrong

Leveraging ERM to navigate emerging tariffs and supply chain risks With recent tariff hikes and geopolitical shifts, supply chain risks are more urgent than ever. 63% of businesses reported higher-than-expected supply chain losses despite increased risk management efforts in recent years. Leveraging ERM to navigate emerging tariffs and supply chain risks explores the distinct challenges of a stressed global market and shows how ERM can enhance efforts in identifying, escalating, and responding to emerging supply chain threats.   Key areas explored in the guide:   Supply chain risks affected by increased tariffs. Why engaging ERM to address supply chain risks is crucial. 8 proactive strategies for addressing emerging supply chain risks.   Ready to start engaging ERM to respond to emerging supply chain risks with agility and speed?   Download the free guide now

In today’s increasingly complex global supply chain landscape, Tom Moore keeps his message refreshingly straightforward: ProvisionAI helps large companies discover hidden costs and eliminate them. Organizations such as Procter & Gamble, Nestlé, and Unilever have leveraged the company’s technology to uncover and eliminate inefficiencies—particularly in transportation and warehousing—that traditional systems fail to detect. The outcome is significant and often delivers immediate savings. But Moore believes many of these problems stem from misunderstandings about the very technologies companies rely on.   Misnamed Systems & Misaligned Expectations Before the interview officially began, Moore reflected on the surprisingly inaccurate names assigned to modern supply chain technologies. ERP systems rarely plan resources across the enterprise, despite what their name suggests. Warehouse Management Systems, while certainly used in warehouses, don’t actually “manage” much at all. People behind keyboards still make most of the critical decisions. This disconnect in terminology shapes faulty expectations. Many organizations believe their planning systems will truly plan the supply chain, yet most tools merely react to demand signals. If ABC Company orders ten cases, the system automatically replenishes—without considering warehouse capacity, transportation availability, downstream implications, or cost-to-serve. Moore characterizes this as both an old problem and a new one, and it…